Every AI system needs an escape hatch

Evaluate, improve, and build recoverable AI systems

Why Reversibility Matters

Your AI will make mistakes. The question is: can users recover from them?

AI increasingly makes or influences important decisions in our lives, but these systems aren’t always easy to interrupt, correct, or recover from.

AI denies mortgage application → Customer service can’t reverse decision

Reversibility is the ability to reverse, undo, or exit unintended actions - giving users control when things go wrong.

Customer complaints, negative reviews, and support tickets all trace back to AI systems users can’t control

Reversibility connects directly to user control, error recovery, and ethical compliance in AI system design.

Unlike abstract principles, RI provides concrete evaluation criteria and implementation guidance that teams can use immediately.

Built from comprehensive analysis of existing reversibility research, design patterns, and real-world AI system implementations.

Addresses reversibility across text, images, audio, video, and multimodal AI systems with specific guidance for each.

Evaluate your AI system across all 10 reversibility domains with comprehensive scoring and recommendations.

Access practical recovery patterns and implementation guidance to improve reversibility in your systems.

Deep dive into the research-based framework covering all 10 core domains and modality-specific guidance for implementation.